Software Engineer Openflow positions focus on delivering results in their domain. This page aggregates open Software Engineer Openflow roles and what employers typically expect.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. The Snowflake Openflow team is building Snowflake’s next-generation open, extensible, and secure data integration platform for real-time, scalable, bi-directional data movement, powered by Apache NiFi. We enable customers to move structured and multi-modal unstructured data across any source and any sink—Snowflake and non-Snowflake alike—through a single, cloud-native platform that supports batch and streaming, and flexible runtimes spanning Snowflake-managed (SPCS) and Bring Your Own Cloud (BYOC) data planes. Our team includes original creators and core contributors to Apache NiFi and industry leaders in data integration, now focused on bringing NiFi’s proven strengths—visual flows, rich connectors, and powerful routing—to Snowflake’s AI Data Cloud at enterprise scale. We work end to end across high-performance runtimes, and curated connectors, partnering closely with product, field, and open-source communities to help customers continuously ingest data, power AI and analytics workloads, and make smarter decisions in real time. AS A SOFTWARE ENGINEER ON THE SNOWFLAKE OPENFLOW TEAM, YOU WILL: - Design and implement features in Openflow’s control plane and data plane, contributing to reliable, scalable, and secure services that power real-time, bi-directional data movement for our customers. - Contribute to distributed systems for batch and streaming workloads, enabling high-throughput, low-latency data pipelines across Snowflake and non-Snowflake environments, for both structured and multi-modal unstructured data. - Design, scope, and deliver small projects end to end - from requirements clarification and technical design through implementation, testing, rollout, and follow-up improvements - with guidance from senior engineers. Contribute to medium-sized projects with appropriate support. - Operate and support the components you build, including monitoring, on-call participation, incident response, and contributing to post-incident reviews and reliability improvements. - Apply solid engineering practices in your area, including clean code, robust testing, observability, security, and documentation, to keep our platform easy to operate and evolve. - Collaborate closely with peers across engineering, product, and design to clarify requirements, create technical plans, break work into milestones, and communicate progress and risks. - Analyze and improve performance, scalability, and reliability of existing services and pipelines, using metrics, profiling, and experimentation to guide optimizations. - Contribute to code reviews, design discussions, and team knowledge sharing, including mentoring interns or onboarding newer engineers. - Contribute to shared platform tooling and patterns, helping make it easier for Openflow teams to build, deploy, and operate high-quality connectors and runtimes. OUR IDEAL SOFTWARE ENGINEER WILL HAVE: - 2+ years of industry experience building and operating backend or platform services, including hands-on work with distributed systems. - Strong computer science fundamentals, including algorithms, data structures, and systems design, with the ability to apply them pragmatically in production code. - Practical experience with distributed systems concepts such as concurrency, replication, partitioning, stream…